POST
/
v3
/
async
/
wan-i2v
curl --request POST \
  --url https://api.novita.ai/v3/async/wan-i2v \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: <content-type>' \
  --data '{
  "extra": {
    "webhook": {
      "url": "<string>",
      "test_mode": {
        "enabled": true,
        "return_task_status": "<string>"
      }
    }
  },
  "model_name": "<string>",
  "image_url": "<string>",
  "width": 123,
  "height": 123,
  "loras": [
    {
      "path": "<string>",
      "scale": {}
    }
  ],
  "seed": 123,
  "prompt": "<string>",
  "negative_prompt": "<string>",
  "steps": 123,
  "guidance_scale": 123,
  "flow_shift": 123,
  "enable_safety_checker": true
}'
{
  "task_id": "<string>"
}

Accelerated inference for Wan 2.1 14B Image-to-Video, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. By default, the API will generate a video with 5 seconds.

This is an asynchronous API; only the task_id will be returned. You should use the task_id to request the Task Result API to retrieve the video generation results.

​
Request Headers

​
Content-Type
string
required

Supports: application/json

​
Authorization
string
required

Bearer authentication format, for example: Bearer {{API Key}}.

​
Request Body

​
extra
object

Optional extra parameters for the request.

​
model_name
string
required

Name of the model checkpoint.

Supports: wan2.1-i2v.

​
image_url
string
required

The URL of the image to be used for video generation.

​
width
integer
required

Width of the output video.

Supports: 480, 720, 832, 1280.

​
height
integer
required

Height of the output video.

Supports:

  • (480p) 832 for width of 480
  • (480p) 480 for width of 832
  • (720p) 1280 for width of 720
  • (720p) 720 for width of 1280

The output video will maintain the input image’s aspect ratio, and the width x height setting only determines the output video’s clarity. For example, a 720p video will be clearer than a 480p video.

​
loras
object[]

LoRA models to be applied to the video generation.

Currently supports up to 3 LoRAs.

​
seed
integer
required

A seed is a number generates noise, which, makes generation deterministic. Using the same seed and set of parameters will produce identical content each time.

Range: -1 <= x <= 9999999999.

​
prompt
string
required

Prompt text required to guide the generation.

Range: 1 <= x <= 2000.

​
negative_prompt
string

Negative prompts instruct the model on what elements to avoid generating.

Range: 0 <= x <= 2000.

​
steps
integer

The number of inference steps.

Range: 1 <= x <= 40. Default: 30.

​
guidance_scale
float

Guidance scale parameter controls how closely the generated content follows the prompt.

Range: 0 <= x <= 10. Default: 5.0.

​
flow_shift
float

The flow_shift parameter primarily affects the speed and magnitude of object movement in the video. Higher values produce more pronounced and faster movement, while lower values make the motion slower and more subtle.

Range: 1 <= x <= 10. Default: 5.0.

​
enable_safety_checker
boolean

The enable_safety_checker parameter controls whether the safety filter is applied to the generated content. When enabled, it helps filter out potentially harmful or inappropriate content from the video output.

Default: true.

​
Response

​
task_id
string
required

Use the task_id to request the Task Result API to retrieve the generated outputs.

​
Example

Here is an example of how to use the Wan 2.1 Image to Video API.

  1. Generate a task_id by sending a POST request to the Wan 2.1 Image to Video API.

Request:

curl --location 'https://api.novita.ai/v3/async/wan-i2v' \
--header 'Authorization: Bearer {{API Key}}' \
--header 'Content-Type: application/json' \
--data '{
    "model_name": "wan2.1-i2v",
    "image_url": "https://pub-f964a1c641c04024bce400ad128c8cd6.r2.dev/wan-i2v-input-image.jpg",
    "height": 1280,
    "width": 720,
    "steps": 25,
    "seed": -1,
    "prompt": "A cute panda is walking in the grassland slowly."
}'

Response:

{
    "task_id": "{Returned Task ID}"
}
  1. Use task_id to get output videos.

HTTP status codes in the 2xx range indicate that the request has been successfully accepted, while status codes in the 5xx range indicate internal server errors.

You can get videos url in videos of response.

Request:

curl --location --request GET 'https://api.novita.ai/v3/async/task-result?task_id={Returned Task ID}' \
--header 'Authorization: Bearer {{API Key}}'

Response:

{
    "task": {
        "task_id": "{Returned Task ID}",
        "task_type": "WAN_IMG_TO_VIDEO",
        "status": "TASK_STATUS_SUCCEED",
        "reason": "",
        "eta": 0,
        "progress_percent": 100
    },
    "images": [],
    "videos": [
        {
            "video_url": "{The URL of the generated video}",
            "video_url_ttl": "3600",
            "video_type": "mp4"
        }
    ]
}

Video files:

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